Jean Anne C. Incorvia

University of Texas at Austin, USA

“Leaky, Integrate, and Fire Stochastic Neurons Leveraging Domain Walls”

Biography

Jean Anne C. Incorvia is an Associate Professor in Electrical and Computer Engineering at The University of Texas at Austin, where she directs the Integrated Nano Computing (INC) Lab. Dr. Incorvia develops nanodevices using emerging physics and materials, with an emphasis on applications in computing. This includes research in spintronics, nanomagnetism, neuromorphic brain-inspired computing, in-memory computing, 2D materials-based computing, computing in extreme environments, and application of new materials to energy and health.
Dr. Incorvia received her bachelor’s in physics from UC Berkeley in 2008 and her Ph.D. in physics from Harvard University in 2015, cross-registered at MIT. From 2015-2017, she completed a postdoc at Stanford University. She has over 75 published articles and has given over 75 invited talks. She received a 2020 NSF CAREER award, the 2020 IEEE Magnetics Society Early Career Award, a 2021 Intel Rising Stars award, and the 2023 Applied Physics Letters best paper award. She was an invited contributor to the 2020, 2022, and 2024 IEEE International Roadmap for Devices and Systems (IRDS) on magnetic-based computing. Dr. Incorvia has served on and taken leadership roles in the International Electron Devices Meeting (IEDM), the Device Research Conference (DRC), the Magnetism and Magnetic Materials Conference (MMM), and Intermag. She is an associate editor for the IEEE Journal on Exploratory Solid-State Computational Devices and Circuits (JxCDC).